A. Günlü

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Estimating aboveground biomass using Landsat TM imagery: A case study of Anatolian Crimean pine forests in Turkey

A. Günlü, İlker Ercanli, E. Z. Başkent, 2014 .

Spatiotemporal changes of landscape pattern in response to deforestation in Northeastern Turkey: a case study in Rize

Sedat Keleş, Emin Zeki Başkent, Alkan Günlü, 2009, Environmental monitoring and assessment.

Artificial neural network models by ALOS PALSAR data for aboveground stand carbon predictions of pure beech stands: a case study from northern of Turkey

A. Günlü, İlker Ercanli, İ. Ercanli, 2018, Geocarto International.

Estimation of some stand parameters from textural features from WorldView-2 satellite image using the artificial neural network and multiple regression methods: a case study from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2019, Geocarto International.

Prediction of Some Stand Parameters using Pan-Sharpened IKONOS Satellite Image

A. Günlü, İlker Ercanli, E. Z. Başkent, 2014 .

Regression kriging to improve basal area and growing stock volume estimation based on remotely sensed data, terrain indices and forest inventory of black pine forests

A. Günlü, İlker Ercanli, M. Şenyurt, 2020 .

Identifying priority areas for reforestation using remote sensing and geographical information systems: a case study from Turkey

A. Günlü, E. Z. Başkent, S. Keleş, 2013 .

Modelling of stand volume and tree density using Spot-4 satellite image: a case study in Devrez planning unit

A. Günlü, İlker Ercanli, S. Keleş, 2015 .

Spatiotemporal Changes in Landscape Pattern in Response to Afforestation in Northeastern Turkey: A Case Study of Torul

A. Günlü, E. Z. Başkent, S. Keleş, 2008 .

Estimation of leaf area index using WorldView-2 and Aster satellite image: a case study from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2017, Environmental Monitoring and Assessment.

Estimation of Aboveground Stand Carbon using Landsat 8 OLI Satellite Image: A Case Study from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2020 .

Evaluating different spatial interpolation methods and modeling techniques for estimating spatial forest site index in pure beech forests: a case study from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2019, Environmental Monitoring and Assessment.

Estimating aboveground biomass using Landsat 8 OLI satellite image in pure Crimean pine (Pinus nigra J.F. Arnold subsp. pallasiana (Lamb.) Holmboe) stands: a case from Turkey

A. Günlü, Ramazan Turgut, 2020, Geocarto International.

Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2018, Forest Ecosystems.

Modeling leaf area index using time-series remote sensing and topographic data in pure Anatolian black pine stands

A. Günlü, S. Bulut, 2022, International Journal of Environmental Science and Technology.

Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data

A. Günlü, F. Sivrikaya, Sinan Bulut, 2022, Arabian Journal of Geosciences.

Relationships between Soil Moisture and RADARSAT derived Backscattering Coefficient Values: a case studies in Artvin-Merkez and Gümüşhane-Karanlıkdere Forest Planning Units

A. Günlü, E. Başkent, 2017 .

EFFECT OF COMPONENTS FINENESS ON STRENGTH OF BLAST FURNACE SLAG CEMENT

A. Günlü, M. Oner, K. Erdogdu, 2003 .

Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ

A. Günlü, E. Başkent, İ. Ercanli, 2015 .

Effects of precommercial thinning intensity on growth of Fagus orientalis Lipsky stands over 6 years

A. Günlü, D. Güney, I. Turna, 2021, Journal of Forestry Research.

Comparing methods for determining forest sites: a case study in Gümüşhane-Karanlıkdere forest

A. Günlü, A. Kadıoǧulları, Lokman Altun, 2008, European Journal of Forest Research.

Estimating aboveground stand carbon by combining Sentinel-1 and Sentinel-2 satellite data: a case study from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2021, Forest Resources Resilience and Conflicts.

Determination of Total Carbon Storage using Sentinel-2 and Geographic Information Systems in Mixed Forests

Sinan Bulut, Alkan Günlü, A. Günlü, 2019 .

Yield of forests in Ankara Regional Directory of Forestry in Turkey: comparison of regression and artificial neural network models based on statistical and biological behaviors

A. Günlü, İ. Ercanli, F. Bolat, 2023, iForest - Biogeosciences and Forestry.

Artificial neural network models for predicting relationships between diameter at breast height and stump diameter: Crimean pine stands at ÇAKÜ Forest

A. Günlü, İlker Ercanli, M. Şenyurt, 2020, Bosque (Valdivia).

Artificial neural network models predicting the leaf area index: a case study in pure even-aged Crimean pine forests from Turkey

A. Günlü, İlker Ercanli, S. Keleş, 2018, Forest Ecosystems.

Estimating net primary productivity of semi-arid Crimean pine stands using biogeochemical modelling, remote sensing, and machine learning

A. Günlü, Sinan Bulut, O. Şatır, 2023, Ecol. Informatics.

Spatial and temporal dynamics of land use pattern response to urbanization in Kastamonu

A. Günlü, A. Kadıoǧulları, Sanem Özen Turan, 2010 .

Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye

A. Günlü, G. Çakir, Sinan Bulut, 2022, Geocarto International.

Discrimination of crown closure of forest ecosystems using different remotely sensed data: a case study of Kızılcasu planning unit

A. Günlü, S. Keleş, A. Kadıoǧulları, 2016 .

Estimation of Stand Type Parameters and Land Cover Using Landsat-7 ETM Image: A Case Study from Turkey

A. Günlü, G. Çakir, S. Keleş, 2008, Sensors.

The Evaluation of temporal and spatial change of aboveground stand carbon: A case study of Upstream of The Göksu River Basin

A. Günlü, C. Göl, Fatih Sarıçam, 2019 .

Modeling Stand Volume using Landsat TM data for Fir stands (Abies bornmuelleriana Matth.) Located in Buyukduz Planning Unit, TURKEY

A. Günlü, İlker Ercanli, M. Şenyurt, 2012 .

Modeling Some Stand Parameters using Vegetation Indices based on Landsat ETM+ in Ayancık-Goldag planning unit, TURKEY

A. Günlü, İlker Ercanli, Aydın Kahriman, 2013 .

Modeling forest stand attributes using Landsat ETM+ and QuickBird satellite images in western Turkey

A. Günlü, A. Kadıoǧulları, 2018 .

Assessment of the interactions among net primary productivity, leaf area index and stand parameters in pure Anatolian black pine stands: A case study from Türkiye

A. Günlü, S. Keleş, Sinan Bulut, 2023, Forest Systems.

Estimation of forest development stage and crown closure using different classification methods and satellite images: A case study from Turkey

Sedat Keleş, Sinan Bulut, Alkan Günlü, 2019, Journal of Forest Science.

Estimation of Crown Closure and Tree Density Using Landsat TM Satellite Images in Mixed Forest Stands

A. Günlü, Uzay Karahalil, Aydın Kahriman, 2014, Journal of the Indian Society of Remote Sensing.

Integration of field measurements with unmanned aerial vehicle to predict forest inventory metrics at tree and stand scales in natural pure Crimean pine forests

A. Günlü, Ferhat Bolat, Sinan Bulut, 2024, International Journal of Remote Sensing.